Abstract
In this paper, the video caching problem in fog computing based radio access networks (F-RAN) to reduce video transmission latency is investigated. According to the geographical factors, fog access points (F-APs) are divided into multiple F-AP clusters. To find the optimal video caching strategy, we propose a Stackelberg game by regarding videos as a specific type of resources. In the proposed game, the cloud server acting as the leader leases its videos, while F-AP clusters acting as followers can efficiently reduce video transmission latency after placing these videos to their F-APs. We establish the profit functions for both the cloud server and F-AP clusters. Then, the Stackleberg equilibrium is investigated by solving the optimization problems. Numerical results are provided for verifying the effectiveness of the proposed model by showing the video pricing and placement strategies.
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